Dear all,

Here i would like to share about h-Index and How to calculate h-Index.

A simple definition of the h-index

The h-index was originally defined by J. E. Hirsch in a Proceedings of the National Academy of Sciences article as the number of papers with citation number ≥ h. An h-index of 3 hence means that the author has published at least three articles, of which each has been cited at least three times. The h-index can also simply be determined by charting the article's citation counts. The h-index is then determined by the interception of the chart's diagonal with the citation data. In this case there are 3 papers that are above the diagonal, and hence the h-index is 3.

The definition of the h-index comes with quite few desirable features:

  • First, it is relatively unaffected by outliers. If e.g. the top ranked article had been cited 1,000 times, this would not change the h-index.
  • Second, the h-index will generally only increase if the researcher continues to produce good work. The h-index would increase to 4 if another paper was added with 4 citations, but would not increase if papers were added with fewer citations.
  • Third, the h-index will never be greater than the number of papers the author has published; to have an h-index of 20, the author must have published at least 20 articles which have each been cited at least 20 times.

A step-by-step outline how to calculate your h-index

  • Step 1: List all your published articles in a table.
  • Step 2: For each article gather the number it has been cited.
  • Step 3: Rank the papers by the number of times they have been cited.
  • Step 4: The h-index can now be inferred by finding the entry at which the rank in the list is greater than the number of citations.

Here is an example of a table where articles have been ranked by their citation count and the h-index has been inferred to be 3.

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